Abstract
This study suggests background thinning method for segmenting character unit of handwritten Hangul. Background thinning method conducts thinning processing using background information between characters and shows effective performance in segmenting for overlapped and touched characters. Character segmentation method using background thinning shows rapid segmentation performance with external segmentation which needs no judgment of recognition process. This method showed excellent performance in touched character segmentation as well as in segmentation of overlapped characters.
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References
Oliveira, L.S., Sabourin, R.: Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy. IEEE PAMI 24(11), 1438–1454 (2002)
Park, J.: An Adaptive Approach to Offline Handwritten Word Recognition. IEEE PAMI 24(7), 920–931 (2002)
Zho, S., Chi, Z., Shi, P., Yan, H.: Two-stage segmentation of unconstrained handwritten Chinese characters. Pattern Recognition 36(1), 145–156 (2003)
Cho, S.-B., Kim, J.H.: A Hierarchical Organization of Neural Networks for Printed Hangul Character Recognition. Korea Information Science Journal 17(3), 306–316 (1990)
Lu, Y.: Machine-printed character segmentation. Pattern Recognition 28(1), 67–80 (1995)
Lu, Y., Shridhar, M.: Character segmentation in handwritten words-an overview. Pattern Recognition 29(1), 77–96 (1996)
Kim, G., Yoon, J.J.: An Approach to Segmentation of Address Strings of Unconstrained Handwritten Hangul using Run-Length Code. Korea Information Science Journal 28(11), 813–821 (2001)
Choi, S.-M., Il-Seok Oh: Segmentation-free Recognition of Touching Numeral Pairs. Korea Information Science Journal 27(5), 563–574 (2000)
You, D., Kim, G.: An Efficient Slant Correction for Handwritten Hangul Strings using Structural Properties. Korea Information Science Journal 30(2), 93–102 (2003)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley Publishing Company, Reading (1992)
Park, J.-S., Hong, K.-C., Il-Seok Oh: Shape Decomposition of Handwritten hangul Characters. Korea Information Science Journal 28(7), 511–523 (2001)
Lee, S.-W., Kim, E.-S.: Efficient post processing algorithm for error eorrection in handwritten Hangul address and human name recognition. Pattern Recognition 27(12), 1631–1640 (1994)
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© 2004 Springer-Verlag Berlin Heidelberg
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Seo, W., Cho, Bj. (2004). Efficient Segmentation Path Generation for Unconstrained Handwritten Hangul Character. In: Bussler, C., Fensel, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2004. Lecture Notes in Computer Science(), vol 3192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30106-6_45
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DOI: https://doi.org/10.1007/978-3-540-30106-6_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22959-9
Online ISBN: 978-3-540-30106-6
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